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About

B. Bouilly is a robotics researcher whose work centers on mobile robot navigation, motion planning under uncertainty, and sensor-based control strategies. Operating at the intersection of theoretical planning and real-world execution, Bouilly made significant contributions to bridging the gap between abstract motion planning and practical robot deployment in complex environments. Bouilly's most influential work, "A numerical technique for planning motion strategies of a mobile robot in presence of uncertainty" (2002, 55 citations), tackled the challenging problem of guiding circular mobile robots through polygonal obstacle environments where both sensing and control are inherently imprecise. By developing techniques that intelligently leverage onboard sensors to counteract accumulated uncertainty, this research advanced the reliability of autonomous robot navigation considerably. Complementing this, Bouilly's work on indoor navigation frameworks (2002, 26 citations) provided an operational bridge between high-level uncertainty-aware planning and real-time sensor-driven motion control, a critical step toward deploying robots in practical indoor settings. Earlier foundational contributions, including doctoral thesis work on robust trajectory planning (1997), established the theoretical groundwork that informed these later developments. With nearly 100 cumulative citations, Bouilly's research has meaningfully shaped how autonomous robots handle uncertainty — a challenge that remains central to modern robotics.